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図書

Machine learning techniques for space weather

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Machine learning techniques for space weather

Call No. (NDL)
NC161-S6
Bibliographic ID of National Diet Library
028679190
Material type
図書
Author
edited by Enrico Camporeale, Simon Wing, Jay R. Johnson.
Publisher
Elsevier
Publication date
[2018]
Material Format
Paper
Capacity, size, etc.
xviii, 433 pages ; 24 cm
NDC
-
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Notes on use

Other physical details：

color illustrations

Detailed bibliographic record

Summary, etc.：

"A thorough and accessible presentation of machine learning techniques that can be employed by space weather professionals. Additionally, it presents ...

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Bibliographic Record

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Paper

Material Type
図書
ISBN
9780128117880 (paperback)
Title
Machine learning techniques for space weather
Author/Editor
edited by Enrico Camporeale, Simon Wing, Jay R. Johnson.
Author Heading
Camporeale, Enrico.
Johnson, Jay R.
Wing, Simon.
Publication, Distribution, etc.
Amsterdam, Netherlands : Elsevier (出版)
Publication Date
[2018]
著作権日付 : ©2018
Publication Date (W3CDTF)
2018
Extent
xviii, 433 pages
Other physical details
color illustrations